The new system combines Determined AI’s ML platform, which is now called the HPE Machine Learning Development Environment, with the AI and HPC offerings of HPE
HPE’s new machine learning development system has been launched around the world. (Credit: Hewlett Packard Enterprise Development LP)
Hewlett Packard Enterprise (HPE) has launched the HPE Machine Learning Development System, which is designed to remove obstacles for enterprises to easily develop and train machine learning models.
Purpose-built for artificial intelligence (AI), the new system is said to be an end-to-end solution that is ready to use. It has been made available around the world.
By integrating a machine learning software platform, compute, accelerators, and networking, the system can quickly and at scale build and train more accurate AI models.
The introduction of the HPE Machine Learning Development System follows HPE’s acquisition of Determined AI in June 2021 with an aim to boost its high performance computing (HPC) solutions.
The new system combines Determined AI’s machine learning (ML) platform, which is now called the HPE Machine Learning Development Environment, with HPE’s AI and HPC offerings.
By using the new HPE Machine Learning Development System, users are expected to speed up the usual time-to-value to begin realising results from building and training machine models in matter of days from what was previously weeks and months.
HPE HPC and AI executive vice president and general manager Justin Hotard said: “Enterprises seek to incorporate AI and machine learning to differentiate their products and services, but are often confronted with complexity in setting up the infrastructure required to build and train accurate AI models at scale.
“The HPE Machine Learning Development System combines our proven end-to-end HPC solutions for deep learning with our innovative machine learning software platform into one system, to provide a performant out-of-the box solution to accelerate time to value and outcomes with AI.”
The new system is claimed to provide optimised compute, accelerated compute, and interconnect, which are important for efficiently scaling models for a mix of workloads.
HPE also said that German AI startup Aleph Alpha has adopted the HPE Machine Learning Development System for training its multimodal AI, which includes computer vision and Natural Language Processing (NLP).
Aleph Alpha founder and CEO Jonas Andrulis said: “We are seeing astonishing efficiency and performance of more than 150 teraflops by using the HPE Machine Learning Development System. The system was quickly set up and we began training our models in hours instead of weeks.
“While running these massive workloads, combined with our ongoing research, being able to rely on an integrated solution for deployment and monitoring makes all the difference.”